Job Description

RESEARCH SCIENTIST, HIGH-THROUGHPUT EXPERIMENTATION (HTE) AND MACHINE LEARNING FOR NEXT-GENERATION ELECTROLYTE DISCOVERY, Chemistry and Research Laboratory of Electronics (RLE), to explore and optimize an HTE system featuring a one-of-a-kind custom high throughput electrochemical impedance spectroscopy (HTEIS) setup that is being developed at MIT.  The system allows synthesis, formulation, analysis, and screening of hundreds of novel electrolyte formulations in days versus weeks or months via conventional approaches. Moreover, its direct connection to advanced data processing and machine learning tools facilitates rapid experiment optimization through a closed experimental–computational loop.  The main purpose of this position is to collaborate with research laboratories and with multidisciplinary project coleaders as well as students and postdocs at MIT to develop and apply this HTE and HTEIS tool to advance the scientific field and be impactful in support of the electrolyte discovery and optimization efforts in our laboratories.  Responsibilities include performing research work in designated areas as agreed to by MIT and TRI teams, preparing a summary of research progress and manuscripts for publication, summarizing and presenting data at internal and external meetings, working with students and postdocs to enable their projects, and coauthoring publications with students and postdocs based on their research. 

A full job description can be found at https://chemistry.mit.edu/research-scientist-high-throughput/.  

REQUIRED: Ph.D. in chemistry, materials science, or a related discipline; graduate-level experience in organic chemistry and some knowledge of polymers/materials or electrochemistry; working knowledge of Microsoft Office; and good oral and written communication skills for report/manuscript writing, collaborating with others, and making research presentations.  Seek someone who is open to collaboration and diverse thinking.  PREFERRED: solid knowledge of organic and polymer chemistry with high throughput experimentation (HTE) and traditional EIS or other electrolyte/battery experience; experience with biologic potentiostat and EC-lab software and thermal analysis (DSC, TGA); working computer science skills in common languages such as Python, R, or VBScript; and experience with design of experiments (DOE) and analysis of large datasets.  Job #20837

This is a one-year term position renewable upon mutual agreement.

2/22/22

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